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- Tasks: Design and develop backend systems using Scala for a leading generative AI platform.
- Company: Join an innovative team at a top generative AI company transforming enterprise workflows.
- Benefits: Enjoy generous PTO, comprehensive health coverage, and learning opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 5+ years in Scala and functional programming; strong backend development skills required.
- Other info: Collaborative environment with excellent career growth and competitive compensation.
The predicted salary is between 43200 - 72000 £ per year.
Join a leading generative AI platform, which empowers enterprises to transform their workflows and achieve greater productivity. Our all-in-one solution offers customized AI applications and workflows, supported by our cutting-edge language models and AI guardrails.
About the Role: We are seeking a skilled Backend Engineer with expertise in Scala and functional programming to join our innovative team. This role involves designing, developing, and maintaining our backend infrastructure, integrating AI models, and ensuring system scalability and efficiency. You will work closely with cross-functional teams to create robust and high-performance services.
Key Responsibilities:
- Develop and maintain backend systems and APIs using Scala.
- Collaborate with data scientists and machine learning engineers.
- Optimize backend services for performance and scalability.
- Implement secure data storage and retrieval mechanisms.
- Define and implement APIs in collaboration with frontend developers.
- Work with SREs to deploy and monitor services in a cloud environment.
- Conduct code reviews and adhere to coding standards.
- Stay updated with industry trends and suggest improvements.
Qualifications:
- Bachelor's or Master's degree in Computer Science or a related field.
- 5+ years of professional experience in functional programming and Scala.
- Proficient in Cats Effect or similar technologies (e.g., ZIO, Monix).
- Strong understanding of backend development, including RESTful APIs and microservices.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Knowledge of distributed systems and performance optimization.
- Experience with version control systems (Git) and agile methodologies.
- Excellent problem-solving and communication skills.
Preferred Experience:
- 10+ years in functional programming.
- 7+ years in Scala programming.
- Extensive experience with Cats Effect.
Benefits & Perks:
- Generous PTO and company holidays.
- Comprehensive medical, dental, and vision coverage.
- Paid parental leave and fertility support.
- Health savings accounts and wellness stipends.
- Learning and development opportunities.
- Competitive compensation, stock options, and 401k.
Send your resume to generative.ai@scalajobs.com
Senior Scala Engineer - Generative AI employer: ScalaJobs
Contact Detail:
ScalaJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Scala Engineer - Generative AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Scala or in AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Scala projects or contributions to open-source. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of backend systems. Practice common Scala interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Scala Engineer - Generative AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Scala expertise and experience in functional programming. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our generative AI platform and how you can contribute to our innovative team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex backend challenges. We love seeing how you approach problems, especially in the context of performance optimisation and system scalability.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ScalaJobs
✨Know Your Scala Inside Out
Make sure you brush up on your Scala skills before the interview. Be prepared to discuss your experience with functional programming and how you've used Scala in past projects. They’ll likely ask you to solve coding problems or explain concepts, so practice coding challenges that focus on Scala.
✨Understand Generative AI
Since this role is centred around generative AI, take some time to understand the latest trends and technologies in this field. Familiarise yourself with how AI models work and be ready to discuss how you can integrate them into backend systems. Showing genuine interest in their platform will set you apart.
✨Collaboration is Key
This position involves working closely with data scientists and machine learning engineers, so be prepared to talk about your experience in cross-functional teams. Share examples of how you’ve collaborated on projects, tackled challenges together, and contributed to a team’s success.
✨Showcase Your Problem-Solving Skills
Expect to face some technical questions that assess your problem-solving abilities. Think through your approach to optimising backend services and implementing secure data storage. Use real-life examples from your experience to illustrate how you’ve tackled similar challenges in the past.
